建筑模拟（英文版）2026，Vol.19Issue(5)：1363-1386,24.DOI:10.1007/s12273-026-1435-y
Towards a holistic urban building energy modelling framework to capture heterogeneity in non-domestic building stock
Towards a holistic urban building energy modelling framework to capture heterogeneity in non-domestic building stock
Jingfeng Zhou 1Pamela Fennell 1Ivan Korolija 2Paul Ruyssevelt1
作者信息
- 1. Energy Institute,University College London,London,WC1H 0NN,UK
- 2. Institute for Environmental Design and Engineering,University College London,London,WC1H 0NN,UK
- 折叠
摘要
关键词
building stock heterogeneity/non-domestic building stock/machine learning/thermal zoning/holistic modelling framework/urban building energy modellingKey words
building stock heterogeneity/non-domestic building stock/machine learning/thermal zoning/holistic modelling framework/urban building energy modelling引用本文复制引用
Jingfeng Zhou,Pamela Fennell,Ivan Korolija,Paul Ruyssevelt..Towards a holistic urban building energy modelling framework to capture heterogeneity in non-domestic building stock[J].建筑模拟（英文版）,2026,19(5):1363-1386,24.
